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When I train on DiDeMo dataset, the following information appears on the terminal more than once.
But the model training was not interrupted. The model could be trained and tested normally. I ran according to the training parameters on DiDeMo dataset you provided, but changed the batch size.
I want to know whether you have encountered the same situation, and whether it will affect the model results?
I searched the Internet for solutions, but I could hardly find them.
The text was updated successfully, but these errors were encountered:
Hi @qjyyyy, I suppose that it is a problem with video decoding. But I am unsure of the reason, and a suggestion is to scan all videos via rawvideo_util.py#L25 offline and print the video name to see which one occurs such an issue. I am also not sure about the effect on the results. Best~
Thanks for sharing your wonderful work!
When I train on DiDeMo dataset, the following information appears on the terminal more than once.
But the model training was not interrupted. The model could be trained and tested normally. I ran according to the training parameters on DiDeMo dataset you provided, but changed the batch size.
I want to know whether you have encountered the same situation, and whether it will affect the model results?
I searched the Internet for solutions, but I could hardly find them.
The text was updated successfully, but these errors were encountered: